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基于用户评价的平安健康 APP 研究:情感分析

A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis.

机构信息

School of Information Management, Wuhan University, Wuhan 430072, China.

School of Computer Science, Wuhan University, Wuhan 430072, China.

出版信息

Int J Environ Res Public Health. 2023 Jan 16;20(2):1591. doi: 10.3390/ijerph20021591.

DOI:10.3390/ijerph20021591
PMID:36674345
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9861522/
Abstract

By mining the dimensional sentiment and dimension weight of the Ping An Health App reviews, this paper explores the changing trend of the influence of dimensions on user satisfaction and provides suggestions for the Ping An Health App operators to improve user satisfaction. Firstly, the topic model is used to identify the topic of user comments, and then the fine-grained sentiment analysis method is used to calculate the sentiment and weight of each dimension. Finally, the changing trend of the weight of each dimension and the changing trend of user satisfaction of each dimension are drawn. Based on the reviews of the Ping An Health App in the Apple App Store, users' concerns about Ping An Health App can be summarized into seven main dimensions: Usage, Bug report, Reliability, Feature information, Services, Other apps, and User Background. The "Feature information" dimension and "Reliability" dimension have a great impact on user satisfaction with the Ping An Health App, while the "Bug report" dimension has the lowest user satisfaction.

摘要

通过挖掘平安健康 APP 评论的维度情感和维度权重,本文探索了维度对用户满意度影响的变化趋势,为平安健康 APP 运营商提高用户满意度提供建议。首先,使用主题模型识别用户评论的主题,然后使用细粒度情感分析方法计算每个维度的情感和权重。最后,绘制每个维度的权重变化趋势和每个维度的用户满意度变化趋势。基于苹果应用商店中对平安健康 APP 的评论,用户对平安健康 APP 的关注点可以概括为七个主要维度:使用情况、Bug 报告、可靠性、功能信息、服务、其他应用程序和用户背景。“功能信息”维度和“可靠性”维度对用户对平安健康 APP 的满意度有很大影响,而“Bug 报告”维度的用户满意度最低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0888/9861522/916b25a9be38/ijerph-20-01591-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0888/9861522/163a2ef18c2c/ijerph-20-01591-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0888/9861522/166b21b1c8c8/ijerph-20-01591-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0888/9861522/916b25a9be38/ijerph-20-01591-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0888/9861522/163a2ef18c2c/ijerph-20-01591-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0888/9861522/166b21b1c8c8/ijerph-20-01591-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0888/9861522/916b25a9be38/ijerph-20-01591-g003.jpg

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